Skip to main navigation
Skip to search
Skip to main content
KAUST PORTAL FOR RESEARCHERS AND STUDENTS Home
Help & FAQ
Home
Profiles
Research Units
Research output
Prizes
Equipment
Courses
Datasets
Student theses
Press / Media
Search by expertise, name or affiliation
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
Virgilio Gómez-Rubio,
Haavard Rue
Computer, Electrical and Mathematical Sciences and Engineering
Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Markov chain Monte Carlo with the Integrated Nested Laplace Approximation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Laplace Approximation
54%
Parameters
16%
Inference
8%
Model Fit
8%
Markov Random Fields
8%
Approximation
8%
Number
8%
Gaussian
4%
Nonlinear Term
4%
Classification
4%
Linear Models
4%
Wide Range
4%
Bayesian
4%
Conditionals
4%
Complex Model
4%
Covariate
4%
Marginals
4%
Linear Predictor
4%
Marginal Posterior Distribution
4%
Approximates
4%
Algorithm
4%
Classes
4%
Alternative Way
4%
Psychology
Markov Chain Monte Carlo
100%
Mixture Model
16%
Hierarchical Model
4%
Social Sciences
Parameter
20%
Linear Model
12%
Example
8%
Distribution
8%
Methodology
8%
Algorithms
4%
Standards
4%
Interest
4%
Application
4%
Combine
4%
Novels
4%
Implementation
4%
Literature
4%
Quantity
4%
Classification
4%
Sampling
4%
Computer Science
Laplace Approximation
54%
Gaussian Model
8%
Computation
4%
Parameter Model
4%
Classification
4%
Hierarchical Bayesian Model
4%
Linear Predictor
4%
Standards
4%
Application
4%
Classes
4%
Economics, Econometrics and Finance
Spatial Statistics
8%
Bayesian
8%
Econometric Model
4%
Benefits
4%
Packaging
4%